Case Study: Praktiker Hungary achieves 19% uplift in average basket value with Microsoft Azure

Hungarian home improvement retail leader uses machine learning to spur online sales

Praktiker Hungary, a Budapest‑headquartered home and garden DIY retailer with 20 stores and a 30,000‑item catalog, faced weak e-commerce performance because its web store search was unhelpful for customers researching projects—online sales were just 1.4% of total sales in 2014.

Partnering with Prefixbox and using Microsoft Azure services, Praktiker added machine‑learning–driven intelligent search to its site to analyze user behavior and surface relevant products. The upgrade reduced zero‑result searches by 31%, boosted average purchase value per visit by 19%, and helped online sales grow to 5.6% by 2017.

Praktiker

Szilvia Burka

Marketing Manager